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  <section id="struct-compilespec">
<span id="exhale-struct-structtorch-tensorrt-1-1torchscript-1-1compilespec"></span><h1>Struct CompileSpec<a class="headerlink" href="#struct-compilespec" title="Permalink to this headline">¶</a></h1>
<ul class="simple">
<li><p>Defined in <a class="reference internal" href="file_cpp_include_torch_tensorrt_torch_tensorrt.h.html#file-cpp-include-torch-tensorrt-torch-tensorrt-h"><span class="std std-ref">File torch_tensorrt.h</span></a></p></li>
</ul>
<section id="struct-documentation">
<h2>Struct Documentation<a class="headerlink" href="#struct-documentation" title="Permalink to this headline">¶</a></h2>
<dl class="cpp struct">
<dt class="sig sig-object cpp" id="_CPPv4N14torch_tensorrt11torchscript11CompileSpecE">
<span class="target" id="structtorch__tensorrt_1_1torchscript_1_1CompileSpec"></span><span class="k"><span class="pre">struct</span></span><span class="w"> </span><span class="sig-prename descclassname"><span class="n"><span class="pre">torch_tensorrt</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">torchscript</span></span><span class="p"><span class="pre">::</span></span></span><span class="sig-name descname"><span class="n"><span class="pre">CompileSpec</span></span></span><a class="headerlink" href="#_CPPv4N14torch_tensorrt11torchscript11CompileSpecE" title="Permalink to this definition">¶</a><br /></dt>
<dd><p>Settings data structure for Torch-TensorRT TorchScript compilation </p>
<div class="breathe-sectiondef docutils container">
<p class="breathe-sectiondef-title rubric" id="breathe-section-title-public-functions">Public Functions</p>
<dl class="cpp function">
<dt class="sig sig-object cpp" id="_CPPv4N14torch_tensorrt11torchscript11CompileSpec11CompileSpecENSt6vectorINSt6vectorI7int64_tEEEE">
<span class="target" id="structtorch__tensorrt_1_1torchscript_1_1CompileSpec_1a18fd2eb916e1f5358ae536e6cc064377"></span><span class="pre">TORCHTRT_API</span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">CompileSpec</span></span></span><span class="sig-paren">(</span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">vector</span></span><span class="p"><span class="pre">&lt;</span></span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">vector</span></span><span class="p"><span class="pre">&lt;</span></span><span class="n"><span class="pre">int64_t</span></span><span class="p"><span class="pre">&gt;</span></span><span class="p"><span class="pre">&gt;</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">fixed_sizes</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv4N14torch_tensorrt11torchscript11CompileSpec11CompileSpecENSt6vectorINSt6vectorI7int64_tEEEE" title="Permalink to this definition">¶</a><br /></dt>
<dd><p>Construct a new Compile Spec object Convienence constructor to set fixed input size from vectors describing size of input tensors. Each entry in the vector represents a input and should be provided in call order. </p>
<p>This constructor should be use as a convience in the case that all inputs are static sized and you are okay with default input dtype and formats (FP32 for FP32 and INT8 weights, FP16 for FP16 weights, contiguous)</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>fixed_sizes</strong> – </p>
</dd>
</dl>
</dd></dl>

<dl class="cpp function">
<dt class="sig sig-object cpp" id="_CPPv4N14torch_tensorrt11torchscript11CompileSpec11CompileSpecENSt6vectorIN3c108ArrayRefI7int64_tEEEE">
<span class="target" id="structtorch__tensorrt_1_1torchscript_1_1CompileSpec_1a594ca70c02cf2be7fb0f198ca15a0e73"></span><span class="pre">TORCHTRT_API</span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">CompileSpec</span></span></span><span class="sig-paren">(</span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">vector</span></span><span class="p"><span class="pre">&lt;</span></span><span class="n"><span class="pre">c10</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">ArrayRef</span></span><span class="p"><span class="pre">&lt;</span></span><span class="n"><span class="pre">int64_t</span></span><span class="p"><span class="pre">&gt;</span></span><span class="p"><span class="pre">&gt;</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">fixed_sizes</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv4N14torch_tensorrt11torchscript11CompileSpec11CompileSpecENSt6vectorIN3c108ArrayRefI7int64_tEEEE" title="Permalink to this definition">¶</a><br /></dt>
<dd><p>Construct a new Compile Spec object Convienence constructor to set fixed input size from c10::ArrayRef’s (the output of tensor.sizes()) describing size of input tensors. Each entry in the vector represents a input and should be provided in call order. </p>
<p>This constructor should be use as a convience in the case that all inputs are static sized and you are okay with default input dtype and formats (FP32 for FP32 and INT8 weights, FP16 for FP16 weights, contiguous)</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>fixed_sizes</strong> – </p>
</dd>
</dl>
</dd></dl>

<dl class="cpp function">
<dt class="sig sig-object cpp" id="_CPPv4N14torch_tensorrt11torchscript11CompileSpec11CompileSpecENSt6vectorI5InputEE">
<span class="target" id="structtorch__tensorrt_1_1torchscript_1_1CompileSpec_1a9599633a5a3e893a6e63dc12980e5be8"></span><span class="pre">TORCHTRT_API</span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">CompileSpec</span></span></span><span class="sig-paren">(</span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">vector</span></span><span class="p"><span class="pre">&lt;</span></span><a class="reference internal" href="structtorch__tensorrt_1_1Input.html#_CPPv4N14torch_tensorrt5InputE" title="torch_tensorrt::Input"><span class="n"><span class="pre">Input</span></span></a><span class="p"><span class="pre">&gt;</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">inputs</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv4N14torch_tensorrt11torchscript11CompileSpec11CompileSpecENSt6vectorI5InputEE" title="Permalink to this definition">¶</a><br /></dt>
<dd><p>Construct a new Compile Spec object from input ranges. Each entry in the vector represents a input and should be provided in call order. </p>
<p>Use this constructor to define inputs with dynamic shape, specific input types or tensor formats</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>inputs</strong> – </p>
</dd>
</dl>
</dd></dl>

<dl class="cpp function">
<dt class="sig sig-object cpp" id="_CPPv4N14torch_tensorrt11torchscript11CompileSpec11CompileSpecEN5torch3jit6IValueE">
<span class="target" id="structtorch__tensorrt_1_1torchscript_1_1CompileSpec_1af8550292118cd8dd139edebe33b99f8c"></span><span class="pre">TORCHTRT_API</span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">CompileSpec</span></span></span><span class="sig-paren">(</span><span class="n"><span class="pre">torch</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">jit</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">IValue</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">input_signature</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv4N14torch_tensorrt11torchscript11CompileSpec11CompileSpecEN5torch3jit6IValueE" title="Permalink to this definition">¶</a><br /></dt>
<dd><p>Construct a new Compile Spec object from IValue which represents the nesting of input tensors for a module. </p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>input_signature</strong> – </p>
</dd>
</dl>
</dd></dl>

</div>
<div class="breathe-sectiondef docutils container">
<p class="breathe-sectiondef-title rubric" id="breathe-section-title-public-members">Public Members</p>
<dl class="cpp var">
<dt class="sig sig-object cpp" id="_CPPv4N14torch_tensorrt11torchscript11CompileSpec12graph_inputsE">
<span class="target" id="structtorch__tensorrt_1_1torchscript_1_1CompileSpec_1a72536728d26e36c8b9d64dd7711fea1f"></span><a class="reference internal" href="structtorch__tensorrt_1_1GraphInputs.html#_CPPv4N14torch_tensorrt11GraphInputsE" title="torch_tensorrt::GraphInputs"><span class="n"><span class="pre">GraphInputs</span></span></a><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">graph_inputs</span></span></span><a class="headerlink" href="#_CPPv4N14torch_tensorrt11torchscript11CompileSpec12graph_inputsE" title="Permalink to this definition">¶</a><br /></dt>
<dd><p>Specifications for inputs to the engine, can store a IValue which has stored complex <a class="reference internal" href="structtorch__tensorrt_1_1Input.html#structtorch__tensorrt_1_1Input"><span class="std std-ref">Input</span></a> or a flatened <a class="reference internal" href="structtorch__tensorrt_1_1Input.html#structtorch__tensorrt_1_1Input"><span class="std std-ref">Input</span></a>. </p>
</dd></dl>

<dl class="cpp var">
<dt class="sig sig-object cpp" id="_CPPv4N14torch_tensorrt11torchscript11CompileSpec18enabled_precisionsE">
<span class="target" id="structtorch__tensorrt_1_1torchscript_1_1CompileSpec_1a83ce8e55ab1e1830a440513fbabae043"></span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">set</span></span><span class="p"><span class="pre">&lt;</span></span><a class="reference internal" href="classtorch__tensorrt_1_1DataType.html#_CPPv4N14torch_tensorrt8DataTypeE" title="torch_tensorrt::DataType"><span class="n"><span class="pre">DataType</span></span></a><span class="p"><span class="pre">&gt;</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">enabled_precisions</span></span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="p"><span class="pre">{</span></span><a class="reference internal" href="classtorch__tensorrt_1_1DataType.html#_CPPv4N14torch_tensorrt8DataTypeE" title="torch_tensorrt::DataType"><span class="n"><span class="pre">DataType</span></span></a><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">kFloat</span></span><span class="p"><span class="pre">}</span></span><a class="headerlink" href="#_CPPv4N14torch_tensorrt11torchscript11CompileSpec18enabled_precisionsE" title="Permalink to this definition">¶</a><br /></dt>
<dd><p>The set of precisions TensorRT is allowed to use for kernels during compilation. </p>
</dd></dl>

<dl class="cpp var">
<dt class="sig sig-object cpp" id="_CPPv4N14torch_tensorrt11torchscript11CompileSpec12disable_tf32E">
<span class="target" id="structtorch__tensorrt_1_1torchscript_1_1CompileSpec_1ac1d3b92892fbeee1a77c6ec89b451fb2"></span><span class="kt"><span class="pre">bool</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">disable_tf32</span></span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="k"><span class="pre">false</span></span><a class="headerlink" href="#_CPPv4N14torch_tensorrt11torchscript11CompileSpec12disable_tf32E" title="Permalink to this definition">¶</a><br /></dt>
<dd><p>Prevent Float32 layers from using TF32 data format</p>
<p>TF32 computes inner products by rounding the inputs to 10-bit mantissas before multiplying, but accumulates the sum using 23-bit mantissas. This is the behavior of FP32 layers by default. </p>
</dd></dl>

<dl class="cpp var">
<dt class="sig sig-object cpp" id="_CPPv4N14torch_tensorrt11torchscript11CompileSpec14sparse_weightsE">
<span class="target" id="structtorch__tensorrt_1_1torchscript_1_1CompileSpec_1a5b4ed74b243c63a708c7bcb8e48ab307"></span><span class="kt"><span class="pre">bool</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">sparse_weights</span></span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="k"><span class="pre">false</span></span><a class="headerlink" href="#_CPPv4N14torch_tensorrt11torchscript11CompileSpec14sparse_weightsE" title="Permalink to this definition">¶</a><br /></dt>
<dd><p>Enable sparsity for weights of conv and FC layers </p>
</dd></dl>

<dl class="cpp var">
<dt class="sig sig-object cpp" id="_CPPv4N14torch_tensorrt11torchscript11CompileSpec5refitE">
<span class="target" id="structtorch__tensorrt_1_1torchscript_1_1CompileSpec_1a5aa4e3201f756a2a952f01f08902cd7d"></span><span class="kt"><span class="pre">bool</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">refit</span></span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="k"><span class="pre">false</span></span><a class="headerlink" href="#_CPPv4N14torch_tensorrt11torchscript11CompileSpec5refitE" title="Permalink to this definition">¶</a><br /></dt>
<dd><p>Build a refitable engine </p>
</dd></dl>

<dl class="cpp var">
<dt class="sig sig-object cpp" id="_CPPv4N14torch_tensorrt11torchscript11CompileSpec5debugE">
<span class="target" id="structtorch__tensorrt_1_1torchscript_1_1CompileSpec_1a973775a29be52d24983b02073c4e1592"></span><span class="kt"><span class="pre">bool</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">debug</span></span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="k"><span class="pre">false</span></span><a class="headerlink" href="#_CPPv4N14torch_tensorrt11torchscript11CompileSpec5debugE" title="Permalink to this definition">¶</a><br /></dt>
<dd><p>Build a debugable engine </p>
</dd></dl>

<dl class="cpp var">
<dt class="sig sig-object cpp" id="_CPPv4N14torch_tensorrt11torchscript11CompileSpec24truncate_long_and_doubleE">
<span class="target" id="structtorch__tensorrt_1_1torchscript_1_1CompileSpec_1ad47a41aa623a797c0212a157a4091a16"></span><span class="kt"><span class="pre">bool</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">truncate_long_and_double</span></span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="k"><span class="pre">false</span></span><a class="headerlink" href="#_CPPv4N14torch_tensorrt11torchscript11CompileSpec24truncate_long_and_doubleE" title="Permalink to this definition">¶</a><br /></dt>
<dd><p>Truncate long/double type to int/float type </p>
</dd></dl>

<dl class="cpp var">
<dt class="sig sig-object cpp" id="_CPPv4N14torch_tensorrt11torchscript11CompileSpec6deviceE">
<span class="target" id="structtorch__tensorrt_1_1torchscript_1_1CompileSpec_1a7eec2ecd57b3debd73239a7d0d552ffd"></span><a class="reference internal" href="structtorch__tensorrt_1_1Device.html#_CPPv4N14torch_tensorrt6DeviceE" title="torch_tensorrt::Device"><span class="n"><span class="pre">Device</span></span></a><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">device</span></span></span><a class="headerlink" href="#_CPPv4N14torch_tensorrt11torchscript11CompileSpec6deviceE" title="Permalink to this definition">¶</a><br /></dt>
<dd><p>Target <a class="reference internal" href="structtorch__tensorrt_1_1Device.html#structtorch__tensorrt_1_1Device"><span class="std std-ref">Device</span></a> </p>
</dd></dl>

<dl class="cpp var">
<dt class="sig sig-object cpp" id="_CPPv4N14torch_tensorrt11torchscript11CompileSpec10capabilityE">
<span class="target" id="structtorch__tensorrt_1_1torchscript_1_1CompileSpec_1aa9f0624c0b2a01589bdf67343435b517"></span><a class="reference internal" href="enum_torch__tensorrt_8h_1a3fbe5d72e4fc624dbd038853079620eb.html#_CPPv4N14torch_tensorrt16EngineCapabilityE" title="torch_tensorrt::EngineCapability"><span class="n"><span class="pre">EngineCapability</span></span></a><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">capability</span></span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><a class="reference internal" href="enum_torch__tensorrt_8h_1a3fbe5d72e4fc624dbd038853079620eb.html#_CPPv4N14torch_tensorrt16EngineCapabilityE" title="torch_tensorrt::EngineCapability"><span class="n"><span class="pre">EngineCapability</span></span></a><span class="p"><span class="pre">::</span></span><a class="reference internal" href="enum_torch__tensorrt_8h_1a3fbe5d72e4fc624dbd038853079620eb.html#_CPPv4N14torch_tensorrt16EngineCapability9kSTANDARDE" title="torch_tensorrt::EngineCapability::kSTANDARD"><span class="n"><span class="pre">kSTANDARD</span></span></a><a class="headerlink" href="#_CPPv4N14torch_tensorrt11torchscript11CompileSpec10capabilityE" title="Permalink to this definition">¶</a><br /></dt>
<dd><p>Sets the restrictions for the engine (CUDA Safety) </p>
</dd></dl>

<dl class="cpp var">
<dt class="sig sig-object cpp" id="_CPPv4N14torch_tensorrt11torchscript11CompileSpec20num_avg_timing_itersE">
<span class="target" id="structtorch__tensorrt_1_1torchscript_1_1CompileSpec_1a0b08c3de8acd85c6c7d277984aadd63d"></span><span class="n"><span class="pre">uint64_t</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">num_avg_timing_iters</span></span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="m"><span class="pre">1</span></span><a class="headerlink" href="#_CPPv4N14torch_tensorrt11torchscript11CompileSpec20num_avg_timing_itersE" title="Permalink to this definition">¶</a><br /></dt>
<dd><p>Number of averaging timing iterations used to select kernels </p>
</dd></dl>

<dl class="cpp var">
<dt class="sig sig-object cpp" id="_CPPv4N14torch_tensorrt11torchscript11CompileSpec14workspace_sizeE">
<span class="target" id="structtorch__tensorrt_1_1torchscript_1_1CompileSpec_1a2dee309060f0bf4052c9b734d91feef1"></span><span class="n"><span class="pre">uint64_t</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">workspace_size</span></span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="m"><span class="pre">0</span></span><a class="headerlink" href="#_CPPv4N14torch_tensorrt11torchscript11CompileSpec14workspace_sizeE" title="Permalink to this definition">¶</a><br /></dt>
<dd><p>Maximum size of workspace given to TensorRT </p>
</dd></dl>

<dl class="cpp var">
<dt class="sig sig-object cpp" id="_CPPv4N14torch_tensorrt11torchscript11CompileSpec13dla_sram_sizeE">
<span class="target" id="structtorch__tensorrt_1_1torchscript_1_1CompileSpec_1ab895c21f1ab78b2b2790b6664ea1d0b7"></span><span class="n"><span class="pre">uint64_t</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">dla_sram_size</span></span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="m"><span class="pre">1048576</span></span><a class="headerlink" href="#_CPPv4N14torch_tensorrt11torchscript11CompileSpec13dla_sram_sizeE" title="Permalink to this definition">¶</a><br /></dt>
<dd><p>Fast software managed RAM used by DLA to communicate within a layer. </p>
</dd></dl>

<dl class="cpp var">
<dt class="sig sig-object cpp" id="_CPPv4N14torch_tensorrt11torchscript11CompileSpec19dla_local_dram_sizeE">
<span class="target" id="structtorch__tensorrt_1_1torchscript_1_1CompileSpec_1a7f98e1909d484589228fce66945b218a"></span><span class="n"><span class="pre">uint64_t</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">dla_local_dram_size</span></span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="m"><span class="pre">1073741824</span></span><a class="headerlink" href="#_CPPv4N14torch_tensorrt11torchscript11CompileSpec19dla_local_dram_sizeE" title="Permalink to this definition">¶</a><br /></dt>
<dd><p>Host RAM used by DLA to share intermediate tensor data across operations </p>
</dd></dl>

<dl class="cpp var">
<dt class="sig sig-object cpp" id="_CPPv4N14torch_tensorrt11torchscript11CompileSpec20dla_global_dram_sizeE">
<span class="target" id="structtorch__tensorrt_1_1torchscript_1_1CompileSpec_1a3cdc173909775362b3e41efa844b6c89"></span><span class="n"><span class="pre">uint64_t</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">dla_global_dram_size</span></span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="m"><span class="pre">536870912</span></span><a class="headerlink" href="#_CPPv4N14torch_tensorrt11torchscript11CompileSpec20dla_global_dram_sizeE" title="Permalink to this definition">¶</a><br /></dt>
<dd><p>host RAM used by DLA to store weights and metadata for execution </p>
</dd></dl>

<dl class="cpp var">
<dt class="sig sig-object cpp" id="_CPPv4N14torch_tensorrt11torchscript11CompileSpec14ptq_calibratorE">
<span class="target" id="structtorch__tensorrt_1_1torchscript_1_1CompileSpec_1a4d4a1651c2a1516d96374dedd566f96b"></span><span class="n"><span class="pre">nvinfer1</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">IInt8Calibrator</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="sig-name descname"><span class="n"><span class="pre">ptq_calibrator</span></span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="k"><span class="pre">nullptr</span></span><a class="headerlink" href="#_CPPv4N14torch_tensorrt11torchscript11CompileSpec14ptq_calibratorE" title="Permalink to this definition">¶</a><br /></dt>
<dd><p>Calibration dataloaders for each input for post training quantizatiom </p>
</dd></dl>

<dl class="cpp var">
<dt class="sig sig-object cpp" id="_CPPv4N14torch_tensorrt11torchscript11CompileSpec24require_full_compilationE">
<span class="target" id="structtorch__tensorrt_1_1torchscript_1_1CompileSpec_1a2b1e0e8adbbaf0192e6d30502f867a85"></span><span class="kt"><span class="pre">bool</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">require_full_compilation</span></span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="k"><span class="pre">false</span></span><a class="headerlink" href="#_CPPv4N14torch_tensorrt11torchscript11CompileSpec24require_full_compilationE" title="Permalink to this definition">¶</a><br /></dt>
<dd><p>Require the full module be compiled to TensorRT instead of potentially running unsupported operations in PyTorch </p>
</dd></dl>

<dl class="cpp var">
<dt class="sig sig-object cpp" id="_CPPv4N14torch_tensorrt11torchscript11CompileSpec14min_block_sizeE">
<span class="target" id="structtorch__tensorrt_1_1torchscript_1_1CompileSpec_1ad75441730fd7776726a7baed34d8d2bb"></span><span class="n"><span class="pre">uint64_t</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">min_block_size</span></span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="m"><span class="pre">3</span></span><a class="headerlink" href="#_CPPv4N14torch_tensorrt11torchscript11CompileSpec14min_block_sizeE" title="Permalink to this definition">¶</a><br /></dt>
<dd><p>Minimum number of contiguous supported operators to compile a subgraph to TensorRT </p>
</dd></dl>

<dl class="cpp var">
<dt class="sig sig-object cpp" id="_CPPv4N14torch_tensorrt11torchscript11CompileSpec18torch_executed_opsE">
<span class="target" id="structtorch__tensorrt_1_1torchscript_1_1CompileSpec_1a3c60fb30768398ff1c75b25f5969ebc6"></span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">vector</span></span><span class="p"><span class="pre">&lt;</span></span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">string</span></span><span class="p"><span class="pre">&gt;</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">torch_executed_ops</span></span></span><a class="headerlink" href="#_CPPv4N14torch_tensorrt11torchscript11CompileSpec18torch_executed_opsE" title="Permalink to this definition">¶</a><br /></dt>
<dd><p>List of aten operators that must be run in PyTorch. An error will be thrown if this list is not empty but <code class="docutils literal notranslate"><span class="pre">require_full_compilation</span></code> is True </p>
</dd></dl>

<dl class="cpp var">
<dt class="sig sig-object cpp" id="_CPPv4N14torch_tensorrt11torchscript11CompileSpec22torch_executed_modulesE">
<span class="target" id="structtorch__tensorrt_1_1torchscript_1_1CompileSpec_1a878095a83d812f67e3b6f27085abc43b"></span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">vector</span></span><span class="p"><span class="pre">&lt;</span></span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">string</span></span><span class="p"><span class="pre">&gt;</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">torch_executed_modules</span></span></span><a class="headerlink" href="#_CPPv4N14torch_tensorrt11torchscript11CompileSpec22torch_executed_modulesE" title="Permalink to this definition">¶</a><br /></dt>
<dd><p>List of modules that must be run in PyTorch. An error will be thrown if this list is not empty but <code class="docutils literal notranslate"><span class="pre">require_full_compilation</span></code> is True </p>
</dd></dl>

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